提升小波变换在振动信号去噪中的应用

Wavelet transform based on lifting scheme and its application in signal de-noising

振动信号存在不同形式的波形特征,传统小波去噪中,小波分解的结果与所采用的小波基函数有关,选用不适当的小波基函数会冲淡振动信号的局部特征信息,从而造成原始信号的部分有用信息丢失。为了克服上述缺陷,介绍了提升算法和基于该算法的小波变换快速算法,探讨了如何利用提升小波变换对信号进行去噪。通过对实际信号去噪处理,得出了提升小波算法能够较好地应用于信号去噪的结论。

There are different characteristics of signal in fault vibrating signals of rotating machinery. In the de-noising of traditional wavelet transform, the result of wavelet decomposing is related with wavelet basis function. And the ill-suited wavelet for original signal can weaken the local characteristic of vibrating signal. In order to overcome mentioned limitation, the basis principle of lifting scheme and wavelet transform based on this are introduced in this paper, and present how to de-noise fault vibrating signals using this method. Through the deal with the actual signal de-noising, we can conclude that the lifting wavelet algorithm can better be applied in signal de-noising.